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This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since May 2020
Instructor since May 2020
.NET C# Training, Computer fundamentals, WWW fundamentals
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From 26 € /h
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I have 8+ years of professional experience in developing enterprise applications using Microsoft and open source technologies. Teaching has always been my passion. I have prior experience in training junior colleagues at my workplace. You can find the perfect balance of patience and perseverance in teaching in me.
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At student's location :
  • Around Hilversum, Netherlands
About Me
Experienced Senior Software Engineer with a demonstrated history of working in the oil & energy industry. Skilled in AMQP, Windows Server, CouchDB, Windows Communication Foundation (WCF), and Operating Systems. Strong engineering professional with a Bachelor of Engineering (B.E.) focused in Information Science from Visvesvaraya Technological University.
Education
Visvesvaraya Technological University
Degree Name - Bachelor of Engineering (B.E.)
Field Of Study - Information Science
Grade - 71%
Dates attended - 2007 – 2011
Experience / Qualifications
Advisie
Developer
Dates Employed - Jun 2019 – Present
Employment Duration - 1 yr
Location - Eemnes, Utrecht Province, Netherlands

Petrolink
Senior Software Engineer
Dates Employed - Nov 2013 – Jun 2019
Employment Duration - 5 yrs 8 mos
Location - Kochi, Kerala
Petroleum domain with multiple technologies, such as, C#, WCF, SQL, CouchDb, Apache Open Source Projects, Cassandra, RabbitMQ, REST API, AKKA.NET

Odessa Technologies, Inc.
Software Engineer
Dates Employed - Jul 2011 – Nov 2013
Employment Duration - 2 yrs 5 mos
Location - Bangalore, Karnataka, India
Worked on BFSI domain with MVC platform.
Age
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
English
Availability of a typical week
(GMT -05:00)
New York
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At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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I am a Professional Full Stack Developer with over 15 years of hands-on experience in software engineering, system design, and artificial intelligence.
I’ve worked across frontend, backend, DevOps, and AI, building enterprise-grade systems for real-world applications — from large-scale microservices to cognitive AI platforms.

I’m passionate about teaching the real, modern way of coding — combining deep technical foundations with today’s most advanced technologies: Generative AI, Agentic systems, RAG architectures, cloud automation, and intelligent DevOps.

Whether you are a beginner exploring your first “Hello World,” a professional improving your stack, or a researcher/developer exploring AI systems, I can guide you step-by-step — conceptually, practically, and strategically.

🧩 What You Will Learn
🖥️ Front-End Development

Master how to build responsive, interactive, and high-performance interfaces:

HTML / HTML5 – Structure, semantics, forms, accessibility

CSS / CSS3 / SCSS – Layout, animations, responsive design, Flexbox, Grid

Bootstrap / Tailwind / Material UI – Rapid design frameworks

JavaScript (ES6+) – Functional programming, event loop, closures, async/await

TypeScript – Strong typing, interfaces, decorators, generics

React.js / Next.js – Components, hooks, state management, routing, APIs

Angular (1.x to 17) – Modules, dependency injection, RxJS, advanced architecture

Vue.js (optional) – Reactive programming, lifecycle management

jQuery / AJAX – Legacy support and backend communication

Web Performance – Lighthouse, Core Web Vitals, PWA, caching strategies

⚙️ Back-End & Enterprise Development

Build scalable, secure, and intelligent server-side systems:

C / C++ / Data Structures / Algorithms / OOPS

Java / J2EE / Spring / Spring Boot / Spring Cloud / Hibernate / Struts / Wicket

Microservices Architecture – API gateway, service registry, inter-service communication

Node.js / Express / NestJS – Modern JavaScript/TypeScript backend

REST & SOAP Web Services – API design, security, documentation (Swagger / Postman)

Python (Flask / FastAPI) – REST APIs, ML pipelines, automation

Shell Scripting (Linux/Unix) – Automation, cron jobs, log parsing, DevOps scripting

PHP / Laravel / CodeIgniter – Classic web backend development

Containerization & Orchestration: Docker, Kubernetes, Helm

CI/CD & Cloud: Jenkins, GitHub Actions, Azure DevOps Pipelines

☁️ Cloud & DevOps Mastery

Learn to build, deploy, and scale applications on the cloud:

AWS (EC2, S3, Lambda, DynamoDB, API Gateway, ECS)

Azure (App Services, Functions, CosmosDB, DevOps)

Google Cloud (GCP, Vertex AI, BigQuery, Cloud Run)

Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus

Infrastructure as Code (IaC): Terraform, AWS CDK, Azure Bicep

Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket

CI/CD Pipelines: Build, test, deploy automation, rollback, release management

📱 App Development

Develop mobile and hybrid apps end-to-end:

Android (Java/Kotlin) – UI/UX, activity lifecycle, API integration

Hybrid Frameworks: Ionic, Cordova, React Native

Progressive Web Apps (PWA) – Offline-first, caching, mobile optimization

Firebase Integration: Auth, Firestore, Cloud Messaging

🤖 Artificial Intelligence & Machine Learning

Learn how modern AI systems are built and deployed:

AI Fundamentals: Neural networks, supervised/unsupervised learning

Machine Learning with Python: scikit-learn, TensorFlow, PyTorch

Natural Language Processing (NLP): Transformers, BERT, GPT

Computer Vision: OpenCV, YOLO, Image Classification

AI APIs & Integrations: Google DialogFlow, Azure Cognitive Services, OpenAI API

🧬 Generative AI, RAG & Agentic Systems

Special focus on real-world AI integration and automation:

Generative AI Models (GPT, Claude, Gemini, Llama, Mistral) – Practical implementation

Prompt Engineering – Designing powerful, reusable prompt frameworks

Retrieval-Augmented Generation (RAG) – Hybrid search + generation architectures

Agentic AI Systems – Building autonomous multi-agent workflows (e.g., AutoGPT, CrewAI)

Agentic RAG – Contextual memory, chaining, and reasoning systems

LangChain / LlamaIndex – RAG pipelines, document loaders, embeddings, vector DBs

Vector Databases: Pinecone, Chroma, Weaviate, FAISS

Knowledge Graphs & Context Management – Enterprise data linking with RAG

AI App Deployment: FastAPI + Streamlit + LangServe + Docker

Copilot & AI Tools: GitHub Copilot, ChatGPT API, Code Interpreter, Vertex AI Studio

Google AI Developer Kit (ADK) – Edge AI, TensorFlow Lite, Coral, and model serving

Voice AI & Conversational Design: Dialogflow CX, OpenAI Assistants, ElevenLabs

🔬 Data, Testing & Quality

Database Systems: MySQL, PostgreSQL, MongoDB, Oracle, DB2, Redis

Database Design: ERD, normalization, indexing, performance tuning

Testing Tools: JUnit, Mockito, Selenium, Cypress, Postman

TDD / BDD Practices: Unit, integration, and end-to-end testing

Logging & Monitoring: ELK, Splunk, Prometheus

Performance Optimization: Profiling, caching, concurrency

🧩 Operating Systems & Scripting

Windows / Linux / Ubuntu / Unix Administration

File Systems, Permissions, Networking, Process Management

Shell Scripting / Automation / Log Analysis

System Security and SSH Hardening

🧠 Bonus Topics

Mathematics for Programmers – Logic, combinatorics, probability, graph theory

Game Development Basics: Unity, Phaser.js, HTML5 Canvas

AI Ethics, Data Privacy, Responsible AI Design

Automation Projects & Web Crawling / Scraping: BeautifulSoup, Selenium, Puppeteer

No-Code / Low-Code Integrations: Zapier, Make, AI automations
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Hi, I'm an Engineer who works at a successful company in Amsterdam. I 've been programming for 12 years and teaching programming for more than 7 years.

I can help you learn fast, give you some useful home works and some extra information to learn faster.

I also can help you online with your given home-works or projects.
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I gave more than 300h of programming, computer science, medical physics and image processing course at postgraduate level.
From my professional experience as researcher and software engineer, I aim at giving you tools to become quickly autonomous for your own projects.

I am a computer vision and AI researcher in Amsterdam who can help you with different aspects of programming and mathematics, image processing, artificial intelligence, scientific computing, etc.
I have experience in teaching at university from bachelor to master's.
Don't hesitate to contact me for any specific request, I will always consider the best way to work together.


Speaks English, French and some Dutch.
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Want to make a career in coding or stuck with your school/college syllabus. Here is the solution.
I am an expert with the practical work experience. I'll be starting from scratch and strengthen your concepts so that you can easily master over this language.

I am providing you a brief summary of our course which we generally follow but that doesn't mean that I am bound to just this much content. In case you have any doubt for any other specific topic related to the subject, you could always come up to me or you need any help in your assignments or projects, you are always welcome.

Here is a brief summary of our syllabus content which we'll be covering

Introduction to Java programming
• The Java Virtual Machine
• Variables and data types
• Conditional and looping constructs
• Arrays

Object-oriented programming with Java Classes and Objects
• Fields and Methods
• Constructors
• Overloading methods
• Garbage collection
• Nested classes

Inheritance
• Overriding methods
• Polymorphism
• Making methods and classes final
• Abstract classes and methods
• Interfaces

Exception handling with try-throw-catch-finally constructs
• The Exception class

The Object class
• Cloning objects
• The JDK LinkedList class
• Strings
• String conversions

Working with types: Wrapper classes
• Enumeration interface

Packages
• Package access
• Documentation comments

Applets
• Configuring applets
• Applet capabilities and restrictions

Basics of AWT and Swing
• Layout Managers
• Event Handling
• The Action Listener interface
• Panels
• Classes for various controls, such as label, choice, list,
• Checkbox, etc.
• Dialogs and frames
• Using menus
• Using the adapter classes
• Graphics

Threads
• Synchronization

The I/O Package
• InputStream and OutputStream classes
• Reader and Writer classes

Basic concepts of networking
• Working with URLs
• Concepts of URLs
• Sockets

Database connectivity with JDBC
• Java security

In case you have any query, feel free to contact me.
Give yourself a chance for a better future
All the best
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Python is a Programming Language widely used with huge capabilities on building projects of many different kinds but the most important advantage is that it is easy to learn and it can be a good start for someone to embrace Computer Science and improve their logical thinking.
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Welcome Student,

As a graduate of the Bachelor's program in Mathematics and Computer Science and the Master's program in Mathematics, I've noticed that many students struggle with many subjects. These are often also the most crucial for their progress, as many future courses build on them. If you're a Bachelor's student facing the same challenge, you've come to the right place. We'll review the material together and work towards your exams, so you can confidently take them.

From a 'birds-eye view', many of these courses clearly have specific types of assignments that you must be able to pass your exam. We pick out these kinds of assignments and we will train you together in order to master them. In addition, we will counteract your weaknesses by going through assignments and theory about it.

To give you a clear idea of which courses I've taken and how I can help you, I've included a list of my completed university courses below (all with a grade of 7 or higher). Note that I studied in Utrecht myself, so your courses may be titled differently.

Math
- Proofs in Mathematics
- Infinitesimal Calculation and Linear Algebra 1
- Introduction to Probability Theory and Statistics
- Infinitesimal Calculation and Linear Algebra 2
- Analysis
- Introduction to Geometry
- Introduction Groups and Rings
- Introduction Analysis in More Variables
- Introduction to Topology
- Functions and Sequences
- Discrete Mathematics
- Topology and Geometry
- Introduction to Scientific Computing
- Analysis in More Variables
- Differentiable Varieties
- Groups, Modules and Shows
- Thesis

Computer science
- Computer architecture and Networks
- Imperative Programming
- Functional Programming (Haskell)
- Introduction Project
- Databases
- Data structures
Graphics
- Optimization and Complexity
- Languages and Compilers
- Competition
- Modeling and System Development
- Software Testing and Verification
- Image processing
- Software project

If you are not sure if I can help you, you can always send me a message!

Sam
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I am a certified communication scientist (WO, MSc.) who teaches computational data analysis methods in SPSS, Python, R and thesis supervision.

During the lessons we can cover the basics of computational methods or data analysis. I can also help you gain a better understanding of the data structure, design a questionnaire in QUALTRICS (or similar program), or collect data together with you. We can do this in the programs Python, R or SPSS. I am also an expert in supervising theses.

I give lessons of one hour as standard, but these can be longer if desired. If you are looking for guidance for a longer period, I can offer you a package where you get a discount on my hourly rate.

I have experience teaching computational data analysis and machine learning at university and college level. I myself have a research master's degree in communication sciences.
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What is this AI thing everybody is talking about these days? Do you want to understand technology at a deeper level? Are you interested in how common applications fundamentally operate? Would you like to improve your logical and analytical skills (not to mention endurance and patience)?
Learning to code - a phrase that is all too popular nowadays. Still, dealing with programming languages is kind of inevitable in every sector. And by becoming fluent in Python or AI techniques you broaden the spectrum of your possibilities, in academia, in the job market and in your personal life too!
There is simply no better language than Python to begin with on your exciting coding journey. And there is also no better way of doing that than by having someone personal to ask questions to. This way you not only don't have to waste time and effort on a stupid typo, but you're also less likely to give up. Effort * Encouragement = Success!
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<Course Description>
This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization.

<Prerequisites>
No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended.

<Learning Objectives>
By the end of the course, participants will be able to:

* Understand the fundamentals of programming and how it applies to Python
* Write Python code for simple applications and automate repetitive tasks
* Use control structures such as loops and conditional statements
* Create functions to encapsulate code and enable code reuse
* Work with Python libraries such as NumPy, Pandas, and Matplotlib
* Use object-oriented programming principles to design more complex programs
* Debug code and use error-handling techniques


<Course Outline>
The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course:

Module 1: Introduction to Python
History and Overview of Python
Setting up Python environment
Writing and running basic Python programs
Variables, data types, and operators

Module 2: Control Structures
Conditional statements and Boolean logic
Loops and iteration
User input and output

Module 3: Functions
Writing and calling functions
Scope and namespaces
Return values and parameters
Lambda functions

Module 4: File Input and Output
Reading and writing files
File modes and buffering
Handling exceptions and errors

Module 5: Object-Oriented Programming
Classes and objects
Inheritance and polymorphism
Data encapsulation and abstraction
Special methods and decorators

Module 6: Python Libraries
Introduction to NumPy, Pandas, and Matplotlib
Data manipulation and analysis with Pandas
Data visualization with Matplotlib


Conclusion
This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.
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Face-to-face or online lessons for students struggling with mathematics, programming or related domains. As a former primary school teacher, current private teacher and having recently completed a bachelor's degree in AI, I can provide personalized support to help you reach your goals. Lessons can be held on location in Amsterdam or online, in Dutch or English. I am available on short notice and flexible in scheduling.
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My name is Christelle, I recently graduated from a research masters in Genetics and Psychology and I am now working as a PhD student in the genetics of Obsessive Compulsive Disorder.

I completed both my Bachelor in Psychology, and Master’s at the Vrije Universiteit Amsterdam. I have experience with teaching statistics / methodology courses to Psychology and Political Science students.

I can offer help in statistics, methodology, biological psychology, and statistical programming in R.

Other tasks I can offer my help for: feedback on written assignments, help in designing scientific figures or presentations.
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Mathematics is the best way to enhance your intellect but also work on your intuition and your ability to see patterns.

Good day, my name is Alex, I have been teaching math for over 10 years to hundreds of students. I will teach all grades from elementary school all the way to high school and IB/GCSE etc.

My philosophy revolves around these three values:
-Encouragement
-Inspiration
-Discipline

I specialize into teaching mathematics and programming, but in some occasions I teach physics too.
Feel free to contact me.
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Whether you're looking to build confidence in math or dive into the world of computer programming, I offer engaging, student-centered lessons that make learning fun, practical, and memorable.

🔢 Math Tutoring & Test Prep
I help students understand math by connecting it to real-world projects, visual patterns, and logical thinking—whether you're working on school coursework, SAT test prep, or just want to improve your number sense. My teaching style adapts to your learning goals, with plenty of interactive challenges, step-by-step strategies, and tools for mastering core concepts.

💻 Computer Programming
I teach computer science at an international school and love helping students of all levels:

Beginners can explore block-based coding with Scratch to build games and animations.

Intermediate and advanced students can learn to create custom Google Add-ons for Docs, Sheets, or Slides using JavaScript (Apps Script).

For those interested in Python, I guide learners through projects in Google Colaboratory, where they can write code, analyze data, or experiment with AI tools.

I specialize in using AI to support personalized learning, helping each student meet their goals efficiently and creatively. Whether you're preparing for exams or pursuing a passion project, I’ll help you stay motivated and make real progress.
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Throughout years of experience teaching a variety of subjects to students ranging from grade school to Bachelor's, I've learned that everyone has their own learning process. I aim to discover what methods work best for you and adapt my lessons to your learning style. Whether you're a child or an adult, whether you're lookin

My expertise is broad: I've taught courses in grade-school math (algebra, geometry, trigonometry), university-level math (calculus, linear algebra, discrete math), programming (Python, C#, Unity3D), theoretical computer science (algorithms, cryptography, quantum computer science), and much more! If you're interested in learning anything within the realm of math or computer science, I can craft specialized tutoring sessions just for you.
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🐍 Python Programming – Learn by Doing
Course Overview
This class is designed for anyone who wants to learn Python from scratch or strengthen their coding skills. Whether you’re a complete beginner or looking to apply Python in data analysis, automation, or web development, this course will guide you step by step with practical examples and projects.

What You’ll Learn
✅ Python basics: variables, data types, operators, and control flow

✅ Functions and modules: writing reusable, clean code

✅ Working with files and data (CSV, JSON, text)

✅ Object-Oriented Programming (OOP) concepts

✅ Libraries for real-world tasks (e.g., pandas, matplotlib)

✅ Problem-solving strategies and debugging techniques

Teaching Style
Hands-on learning: You’ll write code in every session.

Project-driven: Build mini-projects like calculators, data visualizations, or simple web apps.

Adaptable pace: Lessons tailored to your level and goals (academic, professional, or hobby).

Who Is It For?
Students preparing for exams or computer science courses

Professionals wanting to automate tasks or analyze data

Curious learners who want to start coding as a hobby

Practical Details
📍 Online or in-person (depending on your location)

⏱ Flexible scheduling to fit your availability

🧑‍🏫 Personalized guidance with clear explanations and exercises
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I am a Professional Full Stack Developer with over 15 years of hands-on experience in software engineering, system design, and artificial intelligence.
I’ve worked across frontend, backend, DevOps, and AI, building enterprise-grade systems for real-world applications — from large-scale microservices to cognitive AI platforms.

I’m passionate about teaching the real, modern way of coding — combining deep technical foundations with today’s most advanced technologies: Generative AI, Agentic systems, RAG architectures, cloud automation, and intelligent DevOps.

Whether you are a beginner exploring your first “Hello World,” a professional improving your stack, or a researcher/developer exploring AI systems, I can guide you step-by-step — conceptually, practically, and strategically.

🧩 What You Will Learn
🖥️ Front-End Development

Master how to build responsive, interactive, and high-performance interfaces:

HTML / HTML5 – Structure, semantics, forms, accessibility

CSS / CSS3 / SCSS – Layout, animations, responsive design, Flexbox, Grid

Bootstrap / Tailwind / Material UI – Rapid design frameworks

JavaScript (ES6+) – Functional programming, event loop, closures, async/await

TypeScript – Strong typing, interfaces, decorators, generics

React.js / Next.js – Components, hooks, state management, routing, APIs

Angular (1.x to 17) – Modules, dependency injection, RxJS, advanced architecture

Vue.js (optional) – Reactive programming, lifecycle management

jQuery / AJAX – Legacy support and backend communication

Web Performance – Lighthouse, Core Web Vitals, PWA, caching strategies

⚙️ Back-End & Enterprise Development

Build scalable, secure, and intelligent server-side systems:

C / C++ / Data Structures / Algorithms / OOPS

Java / J2EE / Spring / Spring Boot / Spring Cloud / Hibernate / Struts / Wicket

Microservices Architecture – API gateway, service registry, inter-service communication

Node.js / Express / NestJS – Modern JavaScript/TypeScript backend

REST & SOAP Web Services – API design, security, documentation (Swagger / Postman)

Python (Flask / FastAPI) – REST APIs, ML pipelines, automation

Shell Scripting (Linux/Unix) – Automation, cron jobs, log parsing, DevOps scripting

PHP / Laravel / CodeIgniter – Classic web backend development

Containerization & Orchestration: Docker, Kubernetes, Helm

CI/CD & Cloud: Jenkins, GitHub Actions, Azure DevOps Pipelines

☁️ Cloud & DevOps Mastery

Learn to build, deploy, and scale applications on the cloud:

AWS (EC2, S3, Lambda, DynamoDB, API Gateway, ECS)

Azure (App Services, Functions, CosmosDB, DevOps)

Google Cloud (GCP, Vertex AI, BigQuery, Cloud Run)

Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus

Infrastructure as Code (IaC): Terraform, AWS CDK, Azure Bicep

Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket

CI/CD Pipelines: Build, test, deploy automation, rollback, release management

📱 App Development

Develop mobile and hybrid apps end-to-end:

Android (Java/Kotlin) – UI/UX, activity lifecycle, API integration

Hybrid Frameworks: Ionic, Cordova, React Native

Progressive Web Apps (PWA) – Offline-first, caching, mobile optimization

Firebase Integration: Auth, Firestore, Cloud Messaging

🤖 Artificial Intelligence & Machine Learning

Learn how modern AI systems are built and deployed:

AI Fundamentals: Neural networks, supervised/unsupervised learning

Machine Learning with Python: scikit-learn, TensorFlow, PyTorch

Natural Language Processing (NLP): Transformers, BERT, GPT

Computer Vision: OpenCV, YOLO, Image Classification

AI APIs & Integrations: Google DialogFlow, Azure Cognitive Services, OpenAI API

🧬 Generative AI, RAG & Agentic Systems

Special focus on real-world AI integration and automation:

Generative AI Models (GPT, Claude, Gemini, Llama, Mistral) – Practical implementation

Prompt Engineering – Designing powerful, reusable prompt frameworks

Retrieval-Augmented Generation (RAG) – Hybrid search + generation architectures

Agentic AI Systems – Building autonomous multi-agent workflows (e.g., AutoGPT, CrewAI)

Agentic RAG – Contextual memory, chaining, and reasoning systems

LangChain / LlamaIndex – RAG pipelines, document loaders, embeddings, vector DBs

Vector Databases: Pinecone, Chroma, Weaviate, FAISS

Knowledge Graphs & Context Management – Enterprise data linking with RAG

AI App Deployment: FastAPI + Streamlit + LangServe + Docker

Copilot & AI Tools: GitHub Copilot, ChatGPT API, Code Interpreter, Vertex AI Studio

Google AI Developer Kit (ADK) – Edge AI, TensorFlow Lite, Coral, and model serving

Voice AI & Conversational Design: Dialogflow CX, OpenAI Assistants, ElevenLabs

🔬 Data, Testing & Quality

Database Systems: MySQL, PostgreSQL, MongoDB, Oracle, DB2, Redis

Database Design: ERD, normalization, indexing, performance tuning

Testing Tools: JUnit, Mockito, Selenium, Cypress, Postman

TDD / BDD Practices: Unit, integration, and end-to-end testing

Logging & Monitoring: ELK, Splunk, Prometheus

Performance Optimization: Profiling, caching, concurrency

🧩 Operating Systems & Scripting

Windows / Linux / Ubuntu / Unix Administration

File Systems, Permissions, Networking, Process Management

Shell Scripting / Automation / Log Analysis

System Security and SSH Hardening

🧠 Bonus Topics

Mathematics for Programmers – Logic, combinatorics, probability, graph theory

Game Development Basics: Unity, Phaser.js, HTML5 Canvas

AI Ethics, Data Privacy, Responsible AI Design

Automation Projects & Web Crawling / Scraping: BeautifulSoup, Selenium, Puppeteer

No-Code / Low-Code Integrations: Zapier, Make, AI automations
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Hi, I'm an Engineer who works at a successful company in Amsterdam. I 've been programming for 12 years and teaching programming for more than 7 years.

I can help you learn fast, give you some useful home works and some extra information to learn faster.

I also can help you online with your given home-works or projects.
verified badge
I gave more than 300h of programming, computer science, medical physics and image processing course at postgraduate level.
From my professional experience as researcher and software engineer, I aim at giving you tools to become quickly autonomous for your own projects.

I am a computer vision and AI researcher in Amsterdam who can help you with different aspects of programming and mathematics, image processing, artificial intelligence, scientific computing, etc.
I have experience in teaching at university from bachelor to master's.
Don't hesitate to contact me for any specific request, I will always consider the best way to work together.


Speaks English, French and some Dutch.
verified badge
Want to make a career in coding or stuck with your school/college syllabus. Here is the solution.
I am an expert with the practical work experience. I'll be starting from scratch and strengthen your concepts so that you can easily master over this language.

I am providing you a brief summary of our course which we generally follow but that doesn't mean that I am bound to just this much content. In case you have any doubt for any other specific topic related to the subject, you could always come up to me or you need any help in your assignments or projects, you are always welcome.

Here is a brief summary of our syllabus content which we'll be covering

Introduction to Java programming
• The Java Virtual Machine
• Variables and data types
• Conditional and looping constructs
• Arrays

Object-oriented programming with Java Classes and Objects
• Fields and Methods
• Constructors
• Overloading methods
• Garbage collection
• Nested classes

Inheritance
• Overriding methods
• Polymorphism
• Making methods and classes final
• Abstract classes and methods
• Interfaces

Exception handling with try-throw-catch-finally constructs
• The Exception class

The Object class
• Cloning objects
• The JDK LinkedList class
• Strings
• String conversions

Working with types: Wrapper classes
• Enumeration interface

Packages
• Package access
• Documentation comments

Applets
• Configuring applets
• Applet capabilities and restrictions

Basics of AWT and Swing
• Layout Managers
• Event Handling
• The Action Listener interface
• Panels
• Classes for various controls, such as label, choice, list,
• Checkbox, etc.
• Dialogs and frames
• Using menus
• Using the adapter classes
• Graphics

Threads
• Synchronization

The I/O Package
• InputStream and OutputStream classes
• Reader and Writer classes

Basic concepts of networking
• Working with URLs
• Concepts of URLs
• Sockets

Database connectivity with JDBC
• Java security

In case you have any query, feel free to contact me.
Give yourself a chance for a better future
All the best
verified badge
Python is a Programming Language widely used with huge capabilities on building projects of many different kinds but the most important advantage is that it is easy to learn and it can be a good start for someone to embrace Computer Science and improve their logical thinking.
verified badge
Welcome Student,

As a graduate of the Bachelor's program in Mathematics and Computer Science and the Master's program in Mathematics, I've noticed that many students struggle with many subjects. These are often also the most crucial for their progress, as many future courses build on them. If you're a Bachelor's student facing the same challenge, you've come to the right place. We'll review the material together and work towards your exams, so you can confidently take them.

From a 'birds-eye view', many of these courses clearly have specific types of assignments that you must be able to pass your exam. We pick out these kinds of assignments and we will train you together in order to master them. In addition, we will counteract your weaknesses by going through assignments and theory about it.

To give you a clear idea of which courses I've taken and how I can help you, I've included a list of my completed university courses below (all with a grade of 7 or higher). Note that I studied in Utrecht myself, so your courses may be titled differently.

Math
- Proofs in Mathematics
- Infinitesimal Calculation and Linear Algebra 1
- Introduction to Probability Theory and Statistics
- Infinitesimal Calculation and Linear Algebra 2
- Analysis
- Introduction to Geometry
- Introduction Groups and Rings
- Introduction Analysis in More Variables
- Introduction to Topology
- Functions and Sequences
- Discrete Mathematics
- Topology and Geometry
- Introduction to Scientific Computing
- Analysis in More Variables
- Differentiable Varieties
- Groups, Modules and Shows
- Thesis

Computer science
- Computer architecture and Networks
- Imperative Programming
- Functional Programming (Haskell)
- Introduction Project
- Databases
- Data structures
Graphics
- Optimization and Complexity
- Languages and Compilers
- Competition
- Modeling and System Development
- Software Testing and Verification
- Image processing
- Software project

If you are not sure if I can help you, you can always send me a message!

Sam
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I am a certified communication scientist (WO, MSc.) who teaches computational data analysis methods in SPSS, Python, R and thesis supervision.

During the lessons we can cover the basics of computational methods or data analysis. I can also help you gain a better understanding of the data structure, design a questionnaire in QUALTRICS (or similar program), or collect data together with you. We can do this in the programs Python, R or SPSS. I am also an expert in supervising theses.

I give lessons of one hour as standard, but these can be longer if desired. If you are looking for guidance for a longer period, I can offer you a package where you get a discount on my hourly rate.

I have experience teaching computational data analysis and machine learning at university and college level. I myself have a research master's degree in communication sciences.
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What is this AI thing everybody is talking about these days? Do you want to understand technology at a deeper level? Are you interested in how common applications fundamentally operate? Would you like to improve your logical and analytical skills (not to mention endurance and patience)?
Learning to code - a phrase that is all too popular nowadays. Still, dealing with programming languages is kind of inevitable in every sector. And by becoming fluent in Python or AI techniques you broaden the spectrum of your possibilities, in academia, in the job market and in your personal life too!
There is simply no better language than Python to begin with on your exciting coding journey. And there is also no better way of doing that than by having someone personal to ask questions to. This way you not only don't have to waste time and effort on a stupid typo, but you're also less likely to give up. Effort * Encouragement = Success!
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<Course Description>
This course is designed for beginners who are interested in learning programming with Python. It covers the basic concepts of programming such as data types, variables, control structures, functions, and file I/O. Participants will learn how to write Python programs, debug code, and design algorithms using Python. The course also introduces the basics of object-oriented programming and the Python libraries used for data manipulation and visualization.

<Prerequisites>
No prior programming experience is required. However, familiarity with basic computer concepts such as files, folders, and operating systems is recommended.

<Learning Objectives>
By the end of the course, participants will be able to:

* Understand the fundamentals of programming and how it applies to Python
* Write Python code for simple applications and automate repetitive tasks
* Use control structures such as loops and conditional statements
* Create functions to encapsulate code and enable code reuse
* Work with Python libraries such as NumPy, Pandas, and Matplotlib
* Use object-oriented programming principles to design more complex programs
* Debug code and use error-handling techniques


<Course Outline>
The course is divided into modules that build on each other to provide a comprehensive introduction to Python programming. Each module consists of lectures, demonstrations, hands-on exercises, and quizzes to reinforce learning. Here is an outline of the course:

Module 1: Introduction to Python
History and Overview of Python
Setting up Python environment
Writing and running basic Python programs
Variables, data types, and operators

Module 2: Control Structures
Conditional statements and Boolean logic
Loops and iteration
User input and output

Module 3: Functions
Writing and calling functions
Scope and namespaces
Return values and parameters
Lambda functions

Module 4: File Input and Output
Reading and writing files
File modes and buffering
Handling exceptions and errors

Module 5: Object-Oriented Programming
Classes and objects
Inheritance and polymorphism
Data encapsulation and abstraction
Special methods and decorators

Module 6: Python Libraries
Introduction to NumPy, Pandas, and Matplotlib
Data manipulation and analysis with Pandas
Data visualization with Matplotlib


Conclusion
This beginner's programming class in Python provides a solid foundation for anyone interested in learning programming and using Python for data analysis, automation, or software development. With hands-on exercises, interactive quizzes, and a comprehensive final project, participants will learn how to write Python code that is efficient, maintainable, and elegant.
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Face-to-face or online lessons for students struggling with mathematics, programming or related domains. As a former primary school teacher, current private teacher and having recently completed a bachelor's degree in AI, I can provide personalized support to help you reach your goals. Lessons can be held on location in Amsterdam or online, in Dutch or English. I am available on short notice and flexible in scheduling.
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My name is Christelle, I recently graduated from a research masters in Genetics and Psychology and I am now working as a PhD student in the genetics of Obsessive Compulsive Disorder.

I completed both my Bachelor in Psychology, and Master’s at the Vrije Universiteit Amsterdam. I have experience with teaching statistics / methodology courses to Psychology and Political Science students.

I can offer help in statistics, methodology, biological psychology, and statistical programming in R.

Other tasks I can offer my help for: feedback on written assignments, help in designing scientific figures or presentations.
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Mathematics is the best way to enhance your intellect but also work on your intuition and your ability to see patterns.

Good day, my name is Alex, I have been teaching math for over 10 years to hundreds of students. I will teach all grades from elementary school all the way to high school and IB/GCSE etc.

My philosophy revolves around these three values:
-Encouragement
-Inspiration
-Discipline

I specialize into teaching mathematics and programming, but in some occasions I teach physics too.
Feel free to contact me.
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Whether you're looking to build confidence in math or dive into the world of computer programming, I offer engaging, student-centered lessons that make learning fun, practical, and memorable.

🔢 Math Tutoring & Test Prep
I help students understand math by connecting it to real-world projects, visual patterns, and logical thinking—whether you're working on school coursework, SAT test prep, or just want to improve your number sense. My teaching style adapts to your learning goals, with plenty of interactive challenges, step-by-step strategies, and tools for mastering core concepts.

💻 Computer Programming
I teach computer science at an international school and love helping students of all levels:

Beginners can explore block-based coding with Scratch to build games and animations.

Intermediate and advanced students can learn to create custom Google Add-ons for Docs, Sheets, or Slides using JavaScript (Apps Script).

For those interested in Python, I guide learners through projects in Google Colaboratory, where they can write code, analyze data, or experiment with AI tools.

I specialize in using AI to support personalized learning, helping each student meet their goals efficiently and creatively. Whether you're preparing for exams or pursuing a passion project, I’ll help you stay motivated and make real progress.
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Throughout years of experience teaching a variety of subjects to students ranging from grade school to Bachelor's, I've learned that everyone has their own learning process. I aim to discover what methods work best for you and adapt my lessons to your learning style. Whether you're a child or an adult, whether you're lookin

My expertise is broad: I've taught courses in grade-school math (algebra, geometry, trigonometry), university-level math (calculus, linear algebra, discrete math), programming (Python, C#, Unity3D), theoretical computer science (algorithms, cryptography, quantum computer science), and much more! If you're interested in learning anything within the realm of math or computer science, I can craft specialized tutoring sessions just for you.
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🐍 Python Programming – Learn by Doing
Course Overview
This class is designed for anyone who wants to learn Python from scratch or strengthen their coding skills. Whether you’re a complete beginner or looking to apply Python in data analysis, automation, or web development, this course will guide you step by step with practical examples and projects.

What You’ll Learn
✅ Python basics: variables, data types, operators, and control flow

✅ Functions and modules: writing reusable, clean code

✅ Working with files and data (CSV, JSON, text)

✅ Object-Oriented Programming (OOP) concepts

✅ Libraries for real-world tasks (e.g., pandas, matplotlib)

✅ Problem-solving strategies and debugging techniques

Teaching Style
Hands-on learning: You’ll write code in every session.

Project-driven: Build mini-projects like calculators, data visualizations, or simple web apps.

Adaptable pace: Lessons tailored to your level and goals (academic, professional, or hobby).

Who Is It For?
Students preparing for exams or computer science courses

Professionals wanting to automate tasks or analyze data

Curious learners who want to start coding as a hobby

Practical Details
📍 Online or in-person (depending on your location)

⏱ Flexible scheduling to fit your availability

🧑‍🏫 Personalized guidance with clear explanations and exercises
Good-fit Instructor Guarantee
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